Academic Internship in Management systems or Computing (f/m/div.)

Your contribution to something big:
- As part of your Master’s thesis, you will develop and implement innovative approaches to improve the efficiency of daily leadership routines through the increased use of digitalization and Artificial Intelligence (AI);
Your main responsibilities will include:
- Assessing and diagnosing the current situation and existing leadership routines;
- Evaluating current practices and identifying opportunities for improvement through digitalization and AI;
- Developing new methods, processes, and standards;
- Implementing, validating, and stabilizing the new solutions and standards;
- Evaluating the impact of the proposed solutions on Value Stream workflows, operational efficiency, and associated financial benefits.
- This project offers the opportunity to combine Artificial Intelligence, digitalization, continuous improvement, and leadership processes in a real manufacturing environment.
What distinguishes you:
- Currently enrolled in a Master’s degree in Industrial Engineering, Production/Manufacturing Engineering, Data Science, Digital Transformation, Business Engineering, or a comparable field;
- Strong interest in Artificial Intelligence, digitalization, process improvement, and operational excellence;
- Basic understanding of manufacturing processes, Lean Management, continuous improvement, or Value Stream concepts;
- Good analytical and problem-solving skills, with the ability to structure complex problems and translate them into practical solutions;
- Interest in applying digital and AI technologies to improve leadership routines, decision-making, and operational efficiency;
- Ability to work independently while collaborating closely with leadership, engineering, and operational teams.
- Good communication and presentation skills;
- Fluent written and spoken English.

Skills
Artificial Intelligence, Process Improvement

Employment type
Full-time

Work arrangement
No